We also compared CNN, DNN and GMM acoustic models, and CNNs have shown to be superior in our small singing voice audio dataset. The used CNN architecture was specifically designed to learn timbral representations efficiently [1]} – this being the key factor for enabling CNNs (a deep learning method requiring large amounts of data) to perform so well in such a small dataset.
